The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.

An MIT team uses computer models to measure atomic patterns in metals, essential for designing custom materials for use in aerospace, biomedicine, electronics, and more.

Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.

The LHC is back in business for the year, but getting it ready to collect data isn’t always a straightforward process. You can’t just unplug it and plug it in again.

The approach could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.

A new technique enables users to compare several large models and choose the one that works best for their task.

New CSAIL research highlights how LLMs excel in familiar scenarios but struggle in novel ones, questioning their true reasoning abilities versus reliance on memorization.

More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.

Ammonia could be a nearly carbon-free maritime fuel, but without new emissions regulations, its impact on air quality could significantly impact human health.

A chip the size of a pack of cards uses fewer resources and a smaller footprint than existing automated manufacturing platforms and could lead to more affordable cell therapy manufacturing.